Department of Pathology and Laboratory Medicine.
Department of Biomedical Health & Informatics, The Children's Hospitals of Philadelphia, Philadelphia, PA, USA.
Bioinformatics. 2020 Aug 1;36(15):4353-4356. doi: 10.1093/bioinformatics/btaa552.
A number of methods have been devised to address the need for targeted genomic resequencing. One of these methods, region-specific extraction (RSE) is characterized by the capture of long DNA fragments (15-20 kb) by magnetic beads, after enzymatic extension of oligonucleotides hybridized to selected genomic regions. Facilitating the selection of the most appropriate capture oligos for targeting a region of interest, satisfying the properties of temperature (Tm) and entropy (ΔG), while minimizing the formation of primer-dimers in a pooled experiment, is therefore necessary. Manual design and selection of oligos becomes very challenging, complicated by factors such as length of the target region and number of targeted regions. Here we describe, AnthOligo, a web-based application developed to optimally automate the process of generation of oligo sequences used to target and capture the continuum of large and complex genomic regions. Apart from generating oligos for RSE, this program may have wider applications in the design of customizable internal oligos to be used as baits for gene panel analysis or even probes for large-scale comparative genomic hybridization array processes. AnthOligo was tested by capturing the Major Histocompatibility Complex (MHC) of a random sample.The application provides users with a simple interface to upload an input file in BED format and customize parameters for each task. The task of probe design in AnthOligo commences when a user uploads an input file and concludes with the generation of a result-set containing an optimal set of region-specific oligos. AnthOligo is currently available as a public web application with URL: http://antholigo.chop.edu.
Supplementary data are available at Bioinformatics online.
已经设计了多种方法来满足靶向基因组重测序的需求。其中一种方法是区域特异性提取(RSE),其特征是通过磁珠捕获长 DNA 片段(15-20kb),然后对与选定基因组区域杂交的寡核苷酸进行酶延伸。因此,有必要促进选择最适合靶向感兴趣区域的捕获寡核苷酸,满足温度(Tm)和熵(ΔG)的特性,同时在 pooled 实验中最小化引物二聚体的形成。手动设计和选择寡核苷酸变得非常具有挑战性,由于目标区域的长度和目标区域的数量等因素而变得更加复杂。在这里,我们描述了 AnthOligo,这是一种基于网络的应用程序,旨在优化自动生成用于靶向和捕获大型和复杂基因组区域的连续体的寡核苷酸序列的过程。除了生成用于 RSE 的寡核苷酸外,该程序还可以在设计可定制的内部寡核苷酸方面有更广泛的应用,例如用作基因面板分析的诱饵,甚至用于大规模比较基因组杂交阵列过程的探针。AnthOligo 通过捕获随机样本中的主要组织相容性复合物(MHC)进行了测试。该应用程序为用户提供了一个简单的界面,用于上传 BED 格式的输入文件并为每个任务自定义参数。当用户上传输入文件时,探针设计任务开始,并以包含最佳区域特异性寡核苷酸集的结果集结束。AnthOligo 目前可作为公共网络应用程序使用,网址为:http://antholigo.chop.edu。
补充数据可在 Bioinformatics 在线获得。